Trading

19 of 1,035 ongoing trades

Data as of 29 Jul 09:19
AllSellBuySend
Any counterpartyMarketDirect player
Clear
AleApplesArmourBowsBreadCatapultsCheeseClothesFishFurnitureIronMeatMetalwarePikesPitchSaltSilkSpicesStoneSwordsVegetablesVenisonWineWood
SentETAResourceSeller / SenderBuyer / ReceiverGold
22s ago1m 0sMetalware150Metalware
Tow-rope☠ Black Guard ☠
ЧГ 3
Tow-rope☠ Black Guard ☠
ЧГ 2
—
23s ago5sMetalware394Metalware
Wernerk1962The Flaming Pickles·House:12House:12
Ehrenberg
Wernerk1962The Flaming Pickles·House:12House:12
Gewürz
—
1m 30s ago5m 18sPitch1,800Pitch
achil13Not a step back·House:8House:8
10. Αρναία α
achil13Not a step back·House:8House:8
09. Ασκός ζ
—
1m 51s ago1m 24sPitch1,800Pitch
achil13Not a step back·House:8House:8
06. Aσκός γ
achil13Not a step back·House:8House:8
09. Ασκός ζ
—
2m 12s ago4m 28sBows60Bows
Hilwersdritschelbergisch knight·House:17House:17
008 Bühl
Hilwersdritschelbergisch knight·House:17House:17
010 Sumphausen
—
2m 54s ago4m 17sPitch3,000Pitch
Heiliger BrunoDie Glorreichen·House:1House:1
Berg
Heiliger BrunoDie Glorreichen·House:1House:1
Salzburg
—
3m 24s ago54sApples4,500Apples
achil13Not a step back·House:8House:8
09. Ασκός ζ
achil13Not a step back·House:8House:8
11. Αρναία β
—
3m 56s ago2m 53sBows5Bows
BlindnessHoney Badgers·House:14House:14
K - Riviera 2
BlindnessHoney Badgers·House:14House:14
K - SaltPatch
—
4m 50s ago1m 22sMetalware120Metalware
SlynUnderworldTerror
Célesta
SlynUnderworldTerror
Kazar
—
5m 5s ago6m 35sBows20Bows
mig331Unia lubelska
1. MIG331
mig331Unia lubelska
4.Кормянские специи
—
8m 13s ago8m 12sPitch1,800Pitch
achil13Not a step back·House:8House:8
02 .Εύζωνοι β
achil13Not a step back·House:8House:8
09. Ασκός ζ
—
8m 34s ago4m 25sPitch4,000Pitch
Warzenschweinerbergisch knight·House:17House:17
Basis 002 P
Warzenschweinerbergisch knight·House:17House:17
Basis 004 SA
—
9m 10s ago1h 9mBows55Bows
evjofi filsVIVA
VI 1
evjofi filsVIVA
VI 3
—
10m 58s ago1h 7mMetalware115Metalware
Roisind987Razer Terror Squad
Roisind987
Roisind987Razer Terror Squad
Goat Graveyard
—
11m 5s ago19m 47sBows150Bows
huaixihuPanda King Ⅱ·House:2House:2
SV03 - Salty Bae
huaixihuPanda King Ⅱ·House:2House:2
New Village
—
15m 38s ago21m 23sPitch2,000Pitch
Zavoevatel13Navi II·House:5House:5
1
Zavoevatel13Navi II·House:5House:5
6
—
19m 1s ago5m 15sBows15Bows
janis25Banished·House:13House:13
New Village
janis25Banished·House:13House:13
OMED
—
34m 25s ago4m 51sMetalware250Metalware
Wernerk1962The Flaming Pickles·House:12House:12
Burghausen
Wernerk1962The Flaming Pickles·House:12House:12
Gewürz
—
45m 47s ago46sApples3,500Apples
Lord7504082—
New Village
Lord7504082—
tajsic
—

Trade statistics

24h7d30dAll
Total revenue (sells)
616,300,211g
Total spend (buys)
139,690,653g

Volume by resource

ResourceSoldBought
Meat593,925,50050,869,000
Wood488,720,000155,724,000
Stone416,587,000135,358,000
Apples510,307,50039,771,500
Cheese457,863,00036,488,500
Bread374,096,00027,316,000
Vegetables276,820,0009,387,500
Fish225,916,0008,419,500
Iron137,098,80034,777,600
Pitch113,405,80023,793,000
Ale93,938,6002,533,400
Venison18,301,300805,100
Furniture16,985,300879,000
Clothes6,453,6501,111,850
Metalware6,465,8001,062,950
Wine2,900,680973,780
Salt2,623,880999,860
Spices2,034,3401,110,520
Silk2,046,7001,023,520
Bows1,029,445242,720
Pikes755,910185,295
Armour636,730178,255
Swords211,32543,015
Catapults17,12115,377

Most active sellers

  1. 1Дvдtдrr15,397,686g
  2. 2Ke-kotei10,734,166g
  3. 3I11Idan10,320,359g
  4. 4Sergey_Black8,763,038g
  5. 5iSugar7,463,618g
  6. 6roulabhishek306,896,005g
  7. 7Miox boy6,492,323g
  8. 8Alex Spy6,160,598g
  9. 9_CottonBall_5,956,186g
  10. 10xdasy5,392,574g

Most active buyers

  1. 1Sergey_Black3,038,641g
  2. 2_CottonBall_2,995,447g
  3. 3Strongholds King2,756,775g
  4. 4iSugar2,411,372g
  5. 5GoingOnDeath2,187,577g
  6. 6I11Idan2,069,842g
  7. 7&VodkaPolska&2,039,393g
  8. 8makhunteur2,037,672g
  9. 9Marius641,751,305g
  10. 10LordWalter1,738,333g

Revenue and spend are shown separately and never netted into profit. The bot only retains values for in-flight trades (completed trades clear their amounts), so these reflect current/recent flow rather than a complete historical total.